Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Original Article
  • Published:

Identification of critical variants within SLC44A4, an ulcerative colitis susceptibility gene identified in a GWAS in north Indians

Abstract

SLC44A4 is one of the seven novel susceptibility genes that were discovered in the first ever genome-wide association study (GWAS) on ulcerative colitis (UC) in the genetically distinct north Indians. This gene seems to be functionally relevant to disease biology as it may contribute to the associated phenotype of Vitamin B1 deficiency among UC patients, hence playing a role in disease pathogenesis. A large number of single-nucleotide polymorphisms (SNPs) are known to be distributed throughout this gene, but the functional status of most are not known. Thus, an extensive investigation of structural and regulatory variants within this gene was undertaken in this study to identify the critical variants amongst them using a combination of fine mapping, in silico and in vitro approaches. A few intronic SNPs were predicted to have regulatory roles on the basis of in silico analysis, suggesting that they may be the critical variants within SLC44A4. This highlights the importance of this gene in UC biology, thus confirming the finding of the GWAS and also warranting additional studies.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Similar content being viewed by others

References

  1. Galvez J . Role of Th17 Cells in the Pathogenesis of Human IBD. ISRN Inflamm 2014; 2014: 928461.

    Article  Google Scholar 

  2. Sood A, Midha V, Sood N, Bhatia AS, Avasthi G . Incidence and prevalence of ulcerative colitis in Punjab, North India. Gut 2003; 52: 1587–1590.

    Article  CAS  Google Scholar 

  3. Khor B, Gardet A, Xavier RJ . Genetics and pathogenesis of inflammatory bowel disease. Nature 2011; 474: 307–317.

    Article  CAS  Google Scholar 

  4. Anderson CA, Boucher G, Lees CW, Franke A, D'Amato M, Taylor KD et al. Meta-analysis identifies 29 additional ulcerative colitis risk loci, increasing the number of confirmed associations to 47. Nat Genet 2011; 43: 246–252.

    Article  CAS  Google Scholar 

  5. Juyal G, Amre D, Midha V, Sood A, Seidman E, Thelma BK . Evidence of allelic heterogeneity for associations between the NOD2/CARD15 gene and ulcerative colitis among North Indians. Aliment Pharmacol Ther 2007; 26: 1325–1332.

    Article  CAS  Google Scholar 

  6. Juyal G, Midha V, Amre D, Sood A, Seidman E, Thelma BK . Associations between common variants in the MDR1 (ABCB1) gene and ulcerative colitis among North Indians. Pharmacogenet Genomics 2009; 19: 77–85.

    Article  CAS  Google Scholar 

  7. Juyal G, Prasad P, Senapati S, Midha V, Sood A, Amre D et al. An investigation of genome-wide studies reported susceptibility loci for ulcerative colitis shows limited replication in north Indians. PLoS One 2011; 6: e16565.

    Article  CAS  Google Scholar 

  8. Juyal G, Negi S, Sood A, Gupta A, Prasad P, Senapati S et al. Genome-wide association scan in north Indians reveals three novel HLA-independent risk loci for ulcerative colitis. Gut 2014; 64: 571–579.

    Article  Google Scholar 

  9. Asano K, Matsushita T, Umeno J, Hosono N, Takahashi A, Kawaguchi T et al. A genome-wide association study identifies three new susceptibility loci for ulcerative colitis in the Japanese population. Nat Genet 2009; 41: 1325–1329.

    Article  CAS  Google Scholar 

  10. O'Regan S, Traiffort E, Ruat M, Cha N, Compaore D, Meunier FM . An electric lobe suppressor for a yeast choline transport mutation belongs to a new family of transporter-like proteins. Proc Natl Acad Sci USA 2000; 97: 1835–1840.

    Article  CAS  Google Scholar 

  11. Traiffort E, Ruat M, O'Regan S, Meunier FM . Molecular characterization of the family of choline transporter-like proteins and their splice variants. J Neurochem 2005; 92: 1116–1125.

    Article  CAS  Google Scholar 

  12. Kouji H, Inazu M, Yamada T, Tajima H, Aoki T, Matsumiya T . Molecular and functional characterization of choline transporter in human colon carcinoma HT-29 cells. Arch Biochem Biophys 2009; 483: 90–98.

    Article  CAS  Google Scholar 

  13. Nabokina SM, Inoue K, Subramanian VS, Valle JE, Yuasa H, Said HM . Molecular identification and functional characterization of the human colonic thiamine pyrophosphate transporter. J Biol Chem 2014; 289: 4405–4416.

    Article  CAS  Google Scholar 

  14. Ganapathy V, Smith SB, Prasad PD . SLC19: the folate/thiamine transporter family. Pflugers Arch 2004; 447: 641–646.

    Article  CAS  Google Scholar 

  15. Costantini A, Pala MI . Thiamine and fatigue in inflammatory bowel diseases: an open-label pilot study. J Altern Complement Med 2013; 19: 704–708.

    Article  Google Scholar 

  16. Liu JZ, van Sommeren S, Huang H, Ng SC, Alberts R, Takahashi A et al. Association analyses identify 38 susceptibility loci for inflammatory bowel disease and highlight shared genetic risk across populations. Nat Genet 2015; 47: 979–986.

    Article  CAS  Google Scholar 

  17. Magee EA, Edmond LM, Tasker SM, Kong SC, Curno R, Cummings JH . Associations between diet and disease activity in ulcerative colitis patients using a novel method of data analysis. Nutr J 2005; 4: 7.

    Article  Google Scholar 

  18. Barrett JC, Fry B, Maller J, Daly MJ . Haploview: analysis and visualization of LD and haplotype maps. Bioinformatics 2005; 21: 263–265.

    Article  CAS  Google Scholar 

  19. Kumar P, Henikoff S, Ng PC . Predicting the effects of coding non-synonymous variants on protein function using the SIFT algorithm. Nat Protoc 2009; 4: 1073–1081.

    Article  CAS  Google Scholar 

  20. Adzhubei IA, Schmidt S, Peshkin L, Ramensky VE, Gerasimova A, Bork P et al. A method and server for predicting damaging missense mutations. Nat Methods 2010; 7: 248–249.

    Article  CAS  Google Scholar 

  21. Zhang Y . I-TASSER server for protein 3D structure prediction. BMC Bioinformatics 2008; 9: 40.

    Article  Google Scholar 

  22. Bhattacharya A, Ziebarth JD, Cui Y . PolymiRTS Database 3.0: linking polymorphisms in microRNAs and their target sites with human diseases and biological pathways. Nucleic Acids Res 2014; 42: D86–D91.

    Article  CAS  Google Scholar 

  23. Ziebarth JD, Bhattacharya A, Chen A, Cui Y . PolymiRTS Database 2.0: linking polymorphisms in microRNA target sites with human diseases and complex traits. Nucleic Acids Res 2012; 40: D216–D221.

    Article  CAS  Google Scholar 

  24. Boyle AP, Hong EL, Hariharan M, Cheng Y, Schaub MA, Kasowski M et al. Annotation of functional variation in personal genomes using RegulomeDB. Genome Res 2012; 22: 1790–1797.

    Article  CAS  Google Scholar 

  25. Yang TP, Beazley C, Montgomery SB, Dimas AS, Gutierrez-Arcelus M, Stranger BE et al. Genevar: a database and Java application for the analysis and visualization of SNP-gene associations in eQTL studies. Bioinformatics 2010; 26: 2474–2476.

    Article  CAS  Google Scholar 

  26. NCBI Resource Coordinators. Database resources of the National Center for Biotechnology Information. Nucleic Acids Res 2015; 43: D6–D17.

    Article  Google Scholar 

  27. Puck TT, Cieciura SJ, Robinson A . Genetics of somatic mammalian cells. III. Long-term cultivation of euploid cells from human and animal subjects. J Exp Med 1958; 108: 945–956.

    Article  CAS  Google Scholar 

Download references

Acknowledgements

We thank our clinical collaborators Professor Ajit Sood and Dr. Vandana Midha from Dayanand Medical College and Hospital, Ludhiana, Punjab, for providing blood samples from UC patients. We thank Ms. Anjali Dhyani for preparation of DNA samples and maintenance of the resource in the lab. We thank Central Instrumentation Facility, University of Delhi South Campus, New Delhi, for DNA sequencing services. We acknowledge financial support through the Centre of Excellence in Genome sciences and predictive medicine - Functional characterization of SNPs/SNP haplotypes in candidate genes (BT/01/COE/07/UDSC/2008) from the Department of Biotechnology, Government of India to BKT Junior and senior research fellowship to AG from Council of Scientific and Industrial Research, New Delhi, is gratefully acknowledged. We acknowledge the International Inflammatory Bowel Disease Genetics Consortium (IIBDGC) for the Immunochip genotyping data for UC patients and controls from north India. Infrastructure support provided to the Department of Genetics, UDSC, by the University Grants Commission, New Delhi, under the Special Assistance Programme and Department of Science and Technology, New Delhi, under FIST and DU-DST PURSE programmes is gratefully acknowledged.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to B K Thelma.

Ethics declarations

Competing interests

The authors declare no conflict of interest.

Additional information

Supplementary Information accompanies this paper on Genes and Immunity website

Supplementary information

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gupta, A., Thelma, B. Identification of critical variants within SLC44A4, an ulcerative colitis susceptibility gene identified in a GWAS in north Indians. Genes Immun 17, 105–109 (2016). https://doi.org/10.1038/gene.2015.53

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/gene.2015.53

This article is cited by

Search

Quick links